KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Vol. 8 No. 1 (2022): Kalbisiana

Pengembangan Model Pembelajaran Mesin Untuk Mengidentifikasi Nominal Uang Kertas Rupiah Menggunakan Algoritma CNN Dengan Library Keras

I Made Gede Indra Mahendra (Institut Teknologi dan Bisnis Kalbis)

Article Info

Publish Date
11 Jul 2022

Abstract

This study develops application to identify the value of rupiah banknotes. The rupiah banknotes used are the 2009 and 2016 issuances. The purpose of this study is to produce a machine learning model that can be used as a basis for identifying the value of rupiah banknotes and creating a GUI to be able to use its functions easily. The method used in this study is the Convolutional Neural Network. The results obtained are models that have a final value of training loss = 7%, training accuracy = 98%, validation loss = 33%, and validation accuracy = 93%. The finished model has also been tested and can identify new image data.

Copyrights © 2022




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Website

Abbrev

kalbisiana

Publisher

UNIVERSITAS KALBIS

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

Description

KALBISIANA Jurnal Sains, Bisnis dan Teknologi adalah jurnal akses terbuka akademik yang bertujuan untuk mempromosikan integrasi sains, bisnis dan teknologi. Fokusnya adalah menerbitkan makalah tentang sains, bisnis dan teknologi. Makalah yang dikirimkan akan ditinjau oleh komite teknis jurnal. Semua ...